Stack RNN

Parameters

2M

Published

Mar 3, 2015

Stack RNN is an AI model developed by Facebook AI Research (United States and France), first published in March 2015. It works in the language domain, on tasks such as language modeling.

Epoch AI has no training-compute estimate for this model. The model has 2,010,000 parameters.

Access: Unreleased. Its weights are not openly released. The reference paper has 440 citations.

Full record

Organization: Facebook AI Research
Country of organization: United States, France
Domain: Language
Task: Language modeling
Parameters: 2,010,000
Model accessibility: Unreleased
Open weights: No
Citations: 440